Evaluation of Information Systems Development and Implementation Trends in the Field of Human Resources Management Using Text Mining Techniques

Human resource management has seen a significant change by emergent of information systems. The purpose of this paper is finding the relations of words, recognizing the most frequent words, also study the trends of information systems in the field of human resources management through text mining approach. Among text analytic methods, words-weighting, words-correlation, text clustering algorithms, have been applied to the dataset of high-ranked information systems journals and our data set is obtained from Scopus database between the year of 2013 and 2017, then, this study utilizes text mining algorithm on the titles, abstract and keywords of the papers tries to find the relations of the words and general trends of information systems in the field of human resources management. The results present practical information which can help students and scholars to understand a useful overview and provides them with the opportunity to focus on new topics of new trends of information systems in the field human resources. Some results of this paper are: the importance of knowledge management and especially knowledge-sharing process, virtual teams, use of human resources information systems, and also the key role of social networks in organizations.